Instructions to use litert-community/MiniCPM5-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
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How to use litert-community/MiniCPM5-1B with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
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Add measured on-device speed table; note wi8 runtime requirement
#11
by mlboydaisuke - opened
README.md
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@@ -113,3 +113,23 @@ Released under the **Apache-2.0 License**, consistent with the upstream [openbmb
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}
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```
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}
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```
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## Performance (Apple M4 Max, measured)
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Measured with the LiteRT-LM CLI: `litert-lm benchmark -p 256 -d 256 --runs 3 --cache no`
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(litert-lm 0.15.0 / 0.16.0, noted per row) on an idle Apple M4 Max (macOS); 256 prefill / 256 decode tokens, 3 iterations
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averaged by the tool. A desktop reference point — phone-side figures vary by SoC and backend.
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| File | Backend | Prefill (tokens/s) | Decode (tokens/s) | Time-to-first-token (s) |
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|---|---|---|---|---|
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| `minicpm_wi4b32_wi8_afp32` | CPU | 533 | 102.8 | 0.49 |
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| `minicpm_wi4b32_wi8_afp32` | GPU | 5,128 | 238.9 | 0.05 |
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| `minicpm_wi4b32_wi8_afp32_gpu_opt` | CPU | 517 | 101.2 | 0.51 |
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| `minicpm_wi4b32_wi8_afp32_gpu_opt` | GPU | 5,516 | 283.1 | 0.05 |
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| `MiniCPM5-1B_dynamic_wi8_afp32` * | CPU | 375 | 62.0 | 0.70 |
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| `MiniCPM5-1B_dynamic_wi8_afp32` * | GPU | 4,459 | 262.8 | 0.06 |
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\* The `dynamic_wi8_afp32` file requires **litert-lm >= 0.16** (its rows above are 0.16.0;
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the other files were measured on 0.15.0, where they also run). On 0.15 the wi8 file fails
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to load with `INVALID_ARGUMENT: Unsupported model type` — worth a note for anyone pinning
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the runtime. The `gpu_opt` build delivers its intended GPU gain: +18% decode over the
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non-opt int4 file on this machine.
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